"Even the 'lukewarmer' position on global warming has become untenable on the basis of both observations & theory "
That's a lie.
" Lindzen & Choi papers based on ERBE satellite observations showed sensitivity (to doubled CO2 levels) of only ~0.18C"
Temps are already up 1 degree with a 40% rise in CO2.
Here are some good excuses to try out.
Prebutting the lame denier excuses for 2015
With October being a record hot month during a record hot year that will easily beat the previous record hot year, 2014, we can anticipate some lame excuses from the denialists. I thought I'd address them now.
They come down to three categories: El Nino, margin of error and satellite cherrypicking.
El Nino:
We already heard some of it right after the 2014 record, from the predictable Bob Tisdale at Watts Up.* The argument was that if you go into the annual dataset covering the entire planet, and for that one year you remove the large area that's the warmest (in this case the North Pacific), then the rest of the planet isn't as warm as it was in previous years. I have zero doubt that he'll consider writing something like that again in a few months.
Tisdale's trick is to remove the 20% of the planet's area that happened to be extra warm in 2014 and compare it to the rest of the planet with that same 20% area removed in previous years, but the problem is that same 20% wasn't the warmest part of the planet in those previous years. A better comparison would be to remove the 20% that was warmest from every year and compare. Tisdale didn't do that for obvious reasons.
He could've done something even more obviously ridiculous though, removing the North Pacific for 2014 and then comparing the planet minus the North Pacific in 2014 to the whole planet in previous years. I have zero doubt that for 2015, if that's what someone needs to do to claim the year is cooler than previous years, then that'll happen
Margin of error:
We have Tisdale again, at the same post. The final temperature in any dataset has a middle figure that's commonly cited and then a margin of error on either side. 2014 was more likely to be the warmest year than any previous year, but it is possible some other year was the warmest.
The 2015 record is going to be significantly higher than previous years, and it will be very probable to be the warmest year. However, the coldest temperature within the margin of error will overlap, if only slightly, with the warmest temperature margin of error for previous years. We can anticipate squawking over this possibility, too.
What deniers will ignore is that the probability of the warmest year being 2015, 2014, or 2010 will be extremely high, nearly certain. If the warmest year was nearly certainly one of the more recent years, very likely to be one of the last two years, then their claims about a climate hoax just ring pretty hollow.
Satellite cherrypicking:
We saw Ted Cruz switch to satellite cherrypicking after 2014, from previously referring to no warmth in general to then narrowly referring to satellite measurements. And he's actually picking only one satellite dataset, RSS, as the basis for saying this. We will doubtless see the same thing happen after 2015 records come out.
The denialists will be narrowly cherrypicking one dataset out of many, and then narrowly cherrypick a short time period out of that dataset to deny there's a warming trend. Since 1980, the RSS dataset shows warming around .2C/decade. It takes time for climate change to be measurable, and as the link shows, satellite data is difficult to use anyway.
An amusing part of this cherrypicking comes from our friend Chris Monckton and others at Watts Up, ignoring the vast majority of temperature measurements and saying no warming trend for X number of months using RSS data, and then carefully moving the start date forward as the temperature increases. They go from saying October 1, 2014 marks exactly 18 years without warming (with cherrypicked RSS) to saying November 1, 2015 marks 18 years 9 months without warming. Monckton had to drop 4 cold months at the earlier part of the dataset to keep up the impression that it wasn't warming. At some point this won't work anymore, and then they'll probably manipulate the dataset to find a longish period with a warming rate they'll describe as "minimal".
*I could swear I blogged about Tisdale's post earlier this year, but can't find it anywhere. Maybe I saw someone else's post.
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